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    "body_excerpt": "# What does this PR do? This PR fixes `FlaxLMSDiscreteScheduler.step` so it maps the timestep **value** passed from Flax pipelines (the label stored in `state.timesteps[i]`) to a **step index** via `jnp.where`, consistent with `FlaxEulerDi\u2026",
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    "body_excerpt": "# What does this PR do? This pull request introduces support for the AutoRound quantization algorithm in the Diffusers library. AutoRound is a weight-only quantization method that enables efficient inference by optimizing weight rounding a\u2026",
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    "body_excerpt": "# What does this PR do? Adds a new \"Ring Anything\" context-parallel attention mode that supports arbitrary (non-evenly divisible) KV sequence lengths across ring-degree workers. ### Motivation Existing `TemplatedRingAttention` requires KV\u2026",
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    "body_excerpt": "## What does this PR do? `AdaLayerNormZeroSingle.forward()` has a return type annotation declaring a 5-element tuple: ```python def forward(self, x, emb=None) -> tuple[torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor, torch.Tensor]:\u2026",
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    "body_excerpt": "## What does this PR do? In `FromSingleFileMixin.from_single_file()`, when an invalid `torch_dtype` is passed, the warning message always displays `torch.float32` instead of the actual invalid value: ```python # Before (bug): if torch_dtyp\u2026",
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    "body_excerpt": "## What does this PR do? Shrinks dummy inputs in `TestWanAnimateTransformer3DTorchAo` to avoid OOM on devices without FlashAttention (e.g. XPU, which falls back to math SDPA and materializes the full O(S\u00b2) attention matrix). Reduced `hidde\u2026",
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    "body_excerpt": "## What does this PR do? Introduces `_get_dummy_inputs_for_model(model)` helper in both `QuantizationTesterMixin` and `QuantizationCompileTesterMixin` to automatically cast floating-point input tensors to the model's parameter dtype, preve\u2026",
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    "body_excerpt": "## What does this PR do? Changes autocast dtype from `float16` to `bfloat16` in `_test_quantization_training`. Float16's limited dynamic range (max ~65504, min subnormal ~5.96e-8) causes gradients to underflow to zero when passing through\u2026",
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    "body_excerpt": "## What does this PR do? Implements the `_dequantize()` method for `TorchAoHfQuantizer`, enabling `model.dequantize()` to convert TorchAO-quantized models back to standard float weights. ### Changes 1. **Add `_dequantize()` method**: Itera\u2026",
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    "body_excerpt": "## What does this PR do? Enables TorchAO `int4wo` (Int4WeightOnlyConfig) quantization tests on Intel XPU devices. ### Changes 1. **Remove `_int4wo_skip` marker**: The `int4wo` tests were previously restricted to CUDA only. Removed this ski\u2026",
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    "body_excerpt": "# What does this PR do? Potentially fixes https://github.com/huggingface/diffusers/pull/13472#discussion_r3082680279",
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    "body_excerpt": "following case fail tests/models/transformers/test_models_transformer_bria.py::BriaTransformerLoRAHotSwapTests::test_hotswapping_compiled_model_linear_2 tests/models/transformers/test_models_transformer_bria.py::BriaTransformerLoRAHotSwapT\u2026",
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    "body_excerpt": "This PR tries to fix 2 failed test cases for hiream pipeline tests: ``` tests/pipelines/hidream_image/test_pipeline_hidream.py::HiDreamImagePipelineFastTests::test_cpu_offload_forward_pass_twice tests/pipelines/hidream_image/test_pipeline_\u2026",
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    "body_excerpt": "## What does this PR do? Both `AuraFlowAttnProcessor2_0` and `FusedAuraFlowAttnProcessor2_0` in `attention_processor.py` contain a copy-paste error where `attn.norm_added_q` is called on the encoder **key** projection while guarded by a ch\u2026",
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    "body_excerpt": "## What this PR does When a user passes pre-computed `prompt_embeds` (or `negative_prompt_embeds`) alongside `num_images_per_prompt > 1`, `ErnieImagePipeline.__call__` did not replicate the provided embeddings \u2014 the embeds list kept its or\u2026",
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    "body_excerpt": "## What this PR does `train_sana_sprint_diffusers.py` ends training (under `--push_to_hub`) with: https://github.com/huggingface/diffusers/blob/main/examples/research_projects/sana/train_sana_sprint_diffusers.py#L1758-L1766 ```python if ar\u2026",
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    "body_excerpt": "## What does this PR do? This PR improves the TorchAO quantization testing infrastructure with several fixes: enabling `int4wo` tests on Intel XPU, implementing `_dequantize` for TorchAO, fixing input dtype mismatches, and fixing training\u2026",
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    "body_excerpt": "## What this PR does Both Wuerstchen prior training scripts build their HF Hub model card with an f-string that references `{args.weight_dtype}`: **`train_text_to_image_prior.py`** (lines 104-105): ```python pipe_prior = DiffusionPipeline.\u2026",
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    "body_excerpt": "## What this PR does The Intel/BF16 `textual_inversion_bf16.py` script reads `args.report_to` at the top of `main()`: https://github.com/huggingface/diffusers/blob/main/examples/research_projects/intel_opts/textual_inversion/textual_invers\u2026",
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    "body_excerpt": "## What this PR does `ZImageOmniPipeline.__call__` defines `negative_condition_siglip_embeds` only inside the CFG guard: https://github.com/huggingface/diffusers/blob/main/src/diffusers/pipelines/z_image/pipeline_z_image_omni.py#L581-L582\u2026",
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    "body_excerpt": "## What this PR does `LongCatImageEditPipeline._encode_prompt` calls `len()` twice on an `int` when building its truncation warning message: https://github.com/huggingface/diffusers/blob/main/src/diffusers/pipelines/longcat_image/pipeline_\u2026",
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    "body_excerpt": "## What this PR does In `LongCatAudioDiTPipeline.__call__`, positive prompts are normalized via `_normalize_text` before being encoded: ```python normalized_prompts = [_normalize_text(text) for text in prompt] ... prompt_embeds, prompt_emb\u2026",
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    "body_excerpt": "## What does this PR do? The ORT variant of the unconditional training script, `examples/research_projects/onnxruntime/unconditional_image_generation/train_unconditional.py`, defines the tracker flag as `--logger` on the parser: ```python\u2026",
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    "body_excerpt": "## What does this PR do? `extract_glyph_texts` in the HunyuanVideo 1.5 modular pipeline had a copy-paste typo in its regex: ```python # src/diffusers/modular_pipelines/hunyuan_video1_5/encoders.py pattern = r\"\\\"(.*?)\\\"|\\\"(.*?)\\\"\" ``` Both\u2026",
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    "body_excerpt": "## What does this PR do? Fixes an `AttributeError` in `examples/research_projects/diffusion_dpo/train_diffusion_dpo.py` that crashes the IPO loss path. The IPO branch references `args.beta`: ```python elif args.loss_type == \"ipo\": losses =\u2026",
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    "body_excerpt": "## What does this PR do? Fixes a latent `AttributeError` in `examples/t2i_adapter/train_t2i_adapter_sdxl.py` that breaks `--resume_from_checkpoint`. The accelerate `load_model_hook` references `args.control_type`, which is never declared a\u2026",
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    "body_excerpt": "## What does this PR do? Fixes an `AttributeError` in `examples/dreambooth/train_dreambooth_lora_flux2_img2img.py` that makes the validation flow unusable. The validation block references `args.validation_image_path`: ```python if args.val\u2026",
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    "body_excerpt": "## What does this PR do? Fixes #12540. When \\`SanaTransformer2DModel\\` is built with \\`guidance_embeds=True\\` and then driven by a pipeline that does not thread \\`guidance\\` through (\\`SanaPipeline\\`, \\`SanaPAGPipeline\\`), the transformer\u2026",
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    "body_excerpt": "## What does this PR do? Fixes #12656. \\`AuraFlowPatchEmbed.pe_selection_index_based_on_dim\\` silently produces negative / out-of-range gather indices when the input latent grid is larger than the pretrained positional-embedding grid (\\`h_\u2026",
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    "body_excerpt": "## What does this PR do? `CosineDPMSolverMultistepScheduler.step` constructs `BrownianTreeNoiseSampler` with the **config** bounds: ```python self.noise_sampler = BrownianTreeNoiseSampler( model_output, sigma_min=self.config.sigma_min, sig\u2026",
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    "body_excerpt": "## What does this PR do? `gather_size_by_comm` in `src/diffusers/models/_modeling_parallel.py` unconditionally calls `torch.accelerator.current_accelerator()` whenever the backend isn't CPU: ```python gather_device = \"cpu\" if \"cpu\" in comm\u2026",
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    "body_excerpt": "## What does this PR do? Fixes #12913. \\`Lumina2Pipeline.__call__\\` passes \\`latents.shape[1]\\` as \\`image_seq_len\\` when computing \\`mu\\` for the flow-match scheduler: \\`\\`\\`python image_seq_len = latents.shape[1] mu = calculate_shift( im\u2026",
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    "body_excerpt": "## What does this PR do? Fixes #13243. When \\`use_dynamic_shifting=False\\` and \\`shift != 1.0\\` (the default SD3/FLUX-style config), calling \\`scheduler.set_timesteps(num_train_timesteps)\\` produced sigmas that were shifted **twice**, so t\u2026",
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    "body_excerpt": "# What does this PR do? support AutoPipelineForText2Audio for ext2Audio model ``` import torch import soundfile as sf from diffusers import AutoPipelineForText2Audio pipeline = AutoPipelineForText2Audio.from_pretrained( \"stabilityai/stable\u2026",
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    "body_excerpt": "## What does this PR do? Fixes a regression that aborts \\`examples/dreambooth/train_dreambooth_lora.py\\` on the first training step **after** the first validation, whenever the user combines \\`--mixed_precision=fp16\\` and \\`--validation_pr\u2026",
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    "body_excerpt": "## What does this PR do? Fixes the off-by-one in the \\`--text_encoder_out_layers\\` CLI default of \\`examples/dreambooth/train_dreambooth_lora_flux2_klein.py\\`: the script was defaulting to \\`[10, 20, 30]\\` (the Flux 2 **non-Klein** default\u2026",
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    "body_excerpt": "## What does this PR do? Fixes a latent bug in `randn_tensor` where the MPS-specific info-log suppression has been broken since PR #1902 (Jan 2023). ### The bug ```python # src/diffusers/utils/torch_utils.py if isinstance(device, str): dev\u2026",
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    "body_excerpt": "## What does this PR do? Fixes the misleading error raised by `GGUFQuantizer.check_quantized_param_shape` when a loaded GGUF weight doesn't match the model's expected shape. ### Before ```python inferred_shape = _quant_shape_from_byte_shap\u2026",
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    "body_excerpt": "## What does this PR do? Closes #12504. `fourier_filter` (the FFT helper used by `enable_freeu`) already upcasts `bfloat16` inputs to `float32` before calling `torch.fft.fftn`, because PyTorch's FFT does not support bf16. The same is true\u2026",
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    "body_excerpt": "## Summary Two independent bugs that together prevent `use_stream=True` group offloading and context-parallel (ring/Ulysses) attention from working on **AMD ROCm** (tested on gfx1101 / RX 7800 XT, ROCm 7.1, PyTorch 2.7). Both fixes are bac\u2026",
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    "body_excerpt": "# What does this PR do? `VaeImageProcessor` exposes a `resample` config parameter (defaulting to `\"lanczos\"`) and correctly applies it when resizing **PIL images** via `PIL_INTERPOLATION`. However, the two `torch.nn.functional.interpolate`\u2026",
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    "body_excerpt": "# What does this PR do? Adds the modular pipeline for ErnieImage (`ErnieImageAutoBlocks` + `ErnieImageModularPipeline`). Parity verified on A100, bf16, 50 steps, 1024x1024 with `baidu/ERNIE-Image`: - MAD (AutoBlocks vs standard): 0.000033\u2026",
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    "body_excerpt": "## What does this PR do? Fixes two bugs in `PyramidAttentionBroadcastHook.new_forward`: **1. Redundant `iteration == 0` condition** After every `reset_state()`, both `iteration` and `cache` are reset to `0` and `None` respectively. So at i\u2026",
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    "body_excerpt": "This PR fixes failed test case: `tests/models/transformers/test_models_transformer_ernie_image.py::TestErnieImageTransformerCompile::test_torch_compile_repeated_blocks` @yiyixuxu pls help review, thx!",
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    "body_excerpt": "Fixes # (issue) ``` RuntimeError: Error(s) in loading state_dict for LongCatAudioDiTTransformer: size mismatch for blocks.0.ffn.ff.0.weight: copying a param with shape torch.Size([9216, 2560]) from checkpoint, the shape in current model is\u2026",
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    "body_excerpt": "Bump the pinned doc-builder SHA so that main documentation builds also sync to the HF bucket (dual-write).",
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    "body_excerpt": "This PR resolves the unsupported atten_mask shape error when running attention with NPU (Ascend) devices. Problem: The NPU's fusion attention operator (e.g., npu_fusion_attention) does not support automatic broadcasting for attention masks\u2026",
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    "title": "add _native_npu_attention support mask shape like [B,1,1,S]",
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    "body_excerpt": "# What does this PR do? Fixes a device mismatch error in `UniPCMultistepScheduler` when using any form of offloading (`model_cpu_offload`, `sequential_cpu_offload`, or `group_offloading`). When offloading is active, `self.sigmas` may resid\u2026",
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    "body_excerpt": "## Summary - map Flux2 `guidance_in.*` non-diffusers LoRA keys to the diffusers guidance embedder - raise a clear error when Flux2 LoRAs are loaded into the text-only modular sub-pipeline - add regression tests covering both behaviors ## R\u2026",
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    "body_excerpt": "# What does this PR do? Following #13289 Adding torch.compile support for Neuron to diffusers. Neuron supports `torch.compile` with the following mechanism to improve performance: ``` torch.compile(model, backend=\"neuron\", fullgraph=True)\u2026",
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    "body_excerpt": "# What does this PR do? * add diffusers-format example(repo_id: ruixiangma/LongCat-AudioDiT-1B-Diffusers) * support seed parameter ``` import soundfile as sf import torch from diffusers import LongCatAudioDiTPipeline pipeline = LongCatAudi\u2026",
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    "body_excerpt": "In standard pipeline, without negative prompt, the pipeline is run without CFG. In the modular pipeline, the absence of a negative_prompt is by default replaced by an empty string \"\", outputing negative_prompt_embeds. Better align for 1/ m\u2026",
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    "author": "DN6",
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    "body_excerpt": "# What does this PR do? Fix a few failures in the BnB test suite. <!-- Congratulations! You've made it this far! You're not quite done yet though. Once merged, your PR is going to appear in the release notes with the title you set, so make\u2026",
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    "body_excerpt": "# What does this PR do? Verify with the following: <details> <summary>Code</summary> ```py \"\"\"Minimal reproducer: XLA rejects out-of-bounds negative index that CPU/CUDA silently clamps.\"\"\" import torch import torch_xla.core.xla_model as xm\u2026",
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    "body_excerpt": "# What does this PR do? This PR adds support for attention mask input when using the attention backend with `set_attention_backend(\"flash\")`. With this change, `QwenImagePipeline` can run with the flash backend w/ or w/o `Ulysses SP`. For\u2026",
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    "body_excerpt": "### Description **We are the JoyAI Team,** and this is the Diffusers implementation for the JoyAI-Image-Edit model. GitHub Repository: [https://github.com/jd-opensource/JoyAI-Image] Hugging Face Model: [https://huggingface.co/jdopensource/\u2026",
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    "body_excerpt": "\u2026nstead of latent resolution # What does this PR do? Fixes #13439 prepare_cond_latents_and_mask shadows the pixel height/width parameters with latent dims from latents.shape (line 614): ``` batch, channels, frames, height, width = latents.\u2026",
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    "author": "sayakpaul",
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    "body_excerpt": "# What does this PR do? Fixes https://github.com/huggingface/diffusers/actions/runs/24034864516/job/70092362359?pr=13417. Got missed in the earlier refactor.",
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    "title": "[tests] fix autoencoderdc tests",
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    "additions": 2,
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    "body_excerpt": "## Summary - Fix `LoRA's` \u2192 `LoRAs` in two places (lines 104 and 106) - plural, not possessive - Fix `trigger it` \u2192 `trigger them` (pronoun agreement: \"Some LoRAs\" is plural) ## Changes **Line 104:** > Among adapters, [LoRA's] are the most\u2026",
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    "additions": 16,
    "author": "akshan-main",
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    "body_excerpt": "## What does this PR do? Fixes #13421 Adds `negative_prompt` parameter to `GLMImagePipeline.__call__()` and `encode_prompt()`. Previously, the unconditional prompt was hardcoded to `\"\"` when CFG was active, with no way for users to provide\u2026",
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    "body_excerpt": "## What does this PR do? Fixes #13416 Adds `negative_prompt` parameter to `Flux2KleinPipeline.__call__()`. Previously, the unconditional prompt was hardcoded to `\"\"` when CFG was active, with no way for users to provide a custom negative p\u2026",
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    "additions": 14,
    "author": "azolotenkov",
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    "body_excerpt": "# What does this PR do? Fixes a device mismatch in the Flux2 DreamBooth training scripts when `--offload` is used and latents are not precomputed. non-cached path: `pixel_values` were converted to `vae.dtype` but not moved onto `accelerato\u2026",
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    "title": "Fix VAE offload encode device mismatch in DreamBooth scripts",
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    "additions": 16,
    "author": "azolotenkov",
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    "body_excerpt": "# What does this PR do? Fixes a prior-preservation batch size mismatch in the `Flux2 DreamBooth LoRA` scripts. When custom instance prompts are not used, `prompt_embeds` already contains concatenated instance + class embeddings under `--wi\u2026",
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    "title": "Fix Flux2 DreamBooth prior preservation prompt repeats",
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    "additions": 11,
    "author": "Ricardo-M-L",
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    "body_excerpt": "## Summary - Fix article: `a inpainting` \u2192 `an inpainting` in auto_pipeline.py - Fix article: `a aesthetic_score` \u2192 `an aesthetic_score` in SDXL pipelines - Fix docstring: remove extraneous `pass a` in quantizers/base.py - Fix grammar: `al\u2026",
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    "body_excerpt": "## Summary - Fix `it's` \u2192 `its` (possessive form) in ~35 instances across ~32 model files - The phrase \"Check the superclass documentation for it's generic methods\" should use \"its\" (possessive), not \"it's\" (contraction of \"it is\") - Also\u2026",
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    "title": "fix: correct possessive 'it's' to 'its' in model docstrings",
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    "author": "VittoriaLanzo",
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    "body_excerpt": "## What does this PR do? Fixes #13411. `LTXEulerAncestralRFScheduler.set_timesteps(sigmas=...)` silently accepted non-monotone sigma schedules. In `step()`, a reversed schedule computes: ``` downstep_ratio = 1 + (sigma_next / sigma - 1) *\u2026",
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    "additions": 46,
    "author": "yiyixuxu",
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    "body_excerpt": "follow https://github.com/huggingface/diffusers/pull/13334 moved `model-integrawtion/skillls/modular-conversion.md` to `.ai/modular.md`, and link it from `AGENTS.md`, `model-integrawtion/skillls` and `review-rules.md ` added a Gotcha secti\u2026",
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    "title": "[agent] add modular doc",
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    "additions": 32,
    "author": "awsr",
    "author_association": "FIRST_TIME_CONTRIBUTOR",
    "body_excerpt": "# What does this PR do? Fixes `NameError: name 'ftfy' is not defined` This was encountered by one of our users on SDNext. I'm not entirely sure why `ftfy` didn't get installed, but if it's optionally imported then it should also be optiona\u2026",
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    "title": "Guard against calling optional `ftfy` module if not available",
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    "additions": 7,
    "author": "Ricardo-M-L",
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    "body_excerpt": "## Summary - Fix duplicate words: `schedule schedule` \u2192 `schedule`, `obtain obtain` \u2192 `obtain` - Fix article usage: `a image` \u2192 `an image` (2 instances), `a image-text` \u2192 `an image-text` (2 instances), `a upsampling` \u2192 `an upsampling` ## T\u2026",
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    "title": "fix: remove duplicate words and fix grammar in docstrings and error messages",
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    "additions": 54,
    "author": "Ricardo-M-L",
    "author_association": "FIRST_TIME_CONTRIBUTOR",
    "body_excerpt": "## Summary Add missing `f` prefix to ~50 string literals where variables like `{self.__class__}`, `{self.config}`, `{unet.config.*}`, `{type(...)}` are printed as literal text instead of being interpolated. ### Categories fixed: - Safety c\u2026",
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    "title": "fix: add missing f-string prefixes across pipelines and schedulers",
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    "additions": 25,
    "author": "akshan-main",
    "author_association": "CONTRIBUTOR",
    "body_excerpt": "## What does this PR do? Part of #13401 `QwenEmbedRope.forward()` copies `pos_freqs` and `neg_freqs` from CPU to GPU via `.to(device)` on every transformer forward call. These tensors are fixed at init and never change, so the repeated tra\u2026",
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    "title": "Cache RoPE freqs on device to avoid repeated CPU-GPU copy in QwenImage",
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    "additions": 23,
    "author": "andrewor14",
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    "body_excerpt": "**Summary:** TorchAO recently deprecated AffineQuantizedTensor and related classes (https://github.com/pytorch/ao/issues/2752). These will be removed in the next release. We should remove references of these classes in diffusers before the\u2026",
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    "title": "Remove references to torchao's AffineQuantizedTensor",
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    "additions": 152,
    "author": "varaprasadtarunkumar",
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    "body_excerpt": "## What does this PR do? Fixes a per-step `torch.tensor()` reconstruction in `QwenImageTransformer2DModel.forward()` that was identified as a known performance issue in the [profiling guide](https://github.com/huggingface/diffusers/tree/ma\u2026",
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    "title": "fix: cache modulate_index tensor to eliminate per-step DtoH sync",
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    "author": "Ricardo-M-L",
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    "body_excerpt": "## Summary - Add missing `f` prefix to 4 log messages in `bnb_quantizer.py` where `{target_dtype}` and `{current_device}` are printed as literal text instead of being interpolated - Affects both 4-bit and 8-bit BnB quantizer classes ## Tes\u2026",
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    "title": "fix: add missing f-string prefixes in BnB quantizer log messages",
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    "additions": 8,
    "author": "Ricardo-M-L",
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    "body_excerpt": "## Summary - Fix 6 instances of `have have` \u2192 `have` in modular pipeline error messages - Fix `to to` \u2192 `to` in UNet docstring - Fix `be be` \u2192 `be` in Flux Kontext inpaint pipeline docstring ## Test plan - [ ] Verify error messages read co\u2026",
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    "title": "fix: remove duplicate words in error messages and docstrings",
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    "author": "sayakpaul",
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    "title": "Update README.md of the profiling guide",
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    "additions": 4,
    "author": "Ricardo-M-L",
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    "body_excerpt": "Two types of exception handling bugs: **1. `raise \"string\"` in attention_processor.py (lines 328-332)** \\`raise \"string\"\\` causes \\`TypeError: exceptions must derive from BaseException\\` at runtime instead of the intended error message. Ch\u2026",
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    "body_excerpt": "# What does this PR do? I found that the same problem in https://github.com/huggingface/diffusers/issues/13292 also appears in Qwen-Image's dreambooth lora script. https://github.com/huggingface/diffusers/blob/8070f6ec54a7699d5ee285090d973\u2026",
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    "title": "fix(qwen-image dreambooth): correct prompt embed repeats when using `--with_prior_preservation`",
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    "body_excerpt": "# What does this PR do? This PR fixes a missing validation in `DDPMScheduler.set_timesteps`. Currently, passing `num_inference_steps=0` does not raise an error and can lead to invalid internal state or unexpected behavior. This behavior is\u2026",
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    "body_excerpt": "## Summary Fixes several typos and grammar errors across the documentation: 1. **`controlling_generation.md`**: \"allows to generate\" \u2192 \"allows you to generate\" (missing object after \"allows\") 2. **`sdxl.md`**: \"it's refiner model\" \u2192 \"its r\u2026",
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    "body_excerpt": "160 occurrences across 158 pipeline files use the incorrect phrase \"should be the same type to\" instead of \"should be the same type as\" in the negative_prompt type check error message. Example (before): ```python f\"`negative_prompt` should\u2026",
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    "body_excerpt": "# What does this PR do? When running the `train_dreambooth_lora_qwen_image.py `script with the `--with_prior_preservation` flag, the training crashes during the text embedding extraction phase. Fixing two distinct bugs related to tensor co\u2026",
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    "body_excerpt": "## \ud83d\udd12 Pin GitHub Actions to commit SHAs This PR pins all GitHub Actions to their exact commit SHA instead of mutable tags or branch names. **Why?** Pinning to a SHA prevents supply chain attacks where a tag (e.g. `v4`) could be moved to poi\u2026",
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    "body_excerpt": "## What does this PR do? Fixes Dynamo `lru_cache` warnings when using `torch.compile` on diffusion pipelines. Two changes: 1. **`attention_dispatch.py`**: `dispatch_attention_fn` calls `is_torch_version(\">=\", \"2.5.0\")` at runtime, which is\u2026",
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    "additions": 984,
    "author": "asomoza",
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    "body_excerpt": "# What does this PR do? Add a skill for all the optimizations that can be done with diffusers. At the moment it has a lot of information and still with this the LLM (Opus 4.6) is still a hit or miss with the optimizations, specially with w\u2026",
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    "body_excerpt": "# What does this PR do? Addresses suggestions brought up in #13343 by adding scripts/workflows to auto labels issues and PRs . For Issues: Use `Qwen/Qwen3.5-35B-A3B` via Inference Providers to parse issues titles and content and assign app\u2026",
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    "body_excerpt": "# What does this PR do? <!-- Congratulations! You've made it this far! You're not quite done yet though. Once merged, your PR is going to appear in the release notes with the title you set, so make sure it's a great title that fully reflec\u2026",
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    "body_excerpt": "# What does this PR do? Adds modular pipeline support for LTX Video, covering both text-to-video and image-to-video. The implementation follows the same structure as the existing Wan modular pipeline. ### Text-to-video ``` LTXBlocks (Seque\u2026",
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    "body_excerpt": "Update `.github/workflows/claude_review.yml` workflow configuration. cc @sayakpaul Closes huggingface/tracking-issues#42",
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    "body_excerpt": "This PR adds local flash attention 4. Package required: [flash-attn-4](https://pypi.org/project/flash-attn-4/) (flash_attn.cute) Note: flash_4_hub already in the code but points to kernels-staging/flash-attn4 not publicly available. When i\u2026",
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    "body_excerpt": "## What this does Adds a community example for embedding AI provenance metadata into diffusers-generated images. When you generate an image with diffusers, the output carries no metadata indicating it's AI-generated. This utility embeds pr\u2026",
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    "body_excerpt": "# What does this PR do? Needs `kernels` to be installed from source for testing. Users might have to update `nvidia-cutlass-dsl` (or might even do a `--force-reinstall`). In this PR, we're just supporting the bare minimum inference support\u2026",
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    "body_excerpt": "## Summary Adds support for the [DiffSynth-Studio blockwise ControlNet](https://github.com/modelscope/DiffSynth-Studio) architecture to the existing `QwenImageControlNetModel`, addressing [the maintainer's feedback on PR #12317](https://gi\u2026",
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    "body_excerpt": "Fixed issue #13177 ## The problem If you pass a tensor or numpy array as the image to the Klein pipeline, it errors even though the docstring explicitly says these types are supported. Three things cause this: - The image processor's valid\u2026",
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    "body_excerpt": "# What does this PR do? * Introduces `Flux2Transformer2DModelOutput` class as its outputs differ from the rest of the lot. * Test suite for Klein KV. * Docs.",
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    "body_excerpt": "Summary: Very brief writeup as I'm about to head out for the day: 1. we want to enable cuda graphs for qwen-image + nvfp4 at small batch sizes, because without cuda graphs are we bottlenecked on cpu ops 2. to make cuda graphs work, we need\u2026",
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    "body_excerpt": "## Summary Use safe dict access for alpha keys when converting non-diffusers Z-Image LoRA to diffusers format. Some LoRA formats use different alpha key naming (e.g. `layers.0.adaLN_modulation.0.alpha`), causing KeyError. ## Root Cause `st\u2026",
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    "body_excerpt": "- Moves cosmos to the \"video\" model section - Updates the main example - Minor updates to docstrings in cosmos transfer2.5 pipeline Review: - Docs: @stevhliu and @sayakpaul",
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    "body_excerpt": "## Summary The `_convert_non_diffusers_z_image_lora_to_diffusers` function did not consume LoKr-format keys (`.lokr_w1`, `.lokr_w2`, `.alpha`) from external Z-image LoRA checkpoints (e.g. Kohya/LyCORIS), causing a `ValueError` when the sta\u2026",
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    "body_excerpt": "a few maintenance items: - move \"Guiders\" out of Modular Diffusers (because its not exclusive to it). i think after \"Schedulers\" is the most logical place for guiders as they're both swappable components and it has a much higher visibility\u2026",
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    "body_excerpt": "# What does this PR do? Implements a test suite for the conditional blocks for the following functionalities: * `get_workflow()` works as expected. * `select_blocks()` works as expected. * Automatic workflow selection works as expected. Th\u2026",
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    "body_excerpt": "## Summary Fixes #12771 \u2014 `DPMSolverMultistepScheduler` crashes with `IndexError: index 21 is out of bounds for dimension 0 with size 21` when using `beta_schedule='squaredcos_cap_v2'` with `use_karras_sigmas=True`. ## Root Cause When usin\u2026",
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    "body_excerpt": "## What does this PR do? Fixes #12771 \u2014 `DPMSolverMultistepScheduler` crashes with `IndexError: index N is out of bounds` when using `beta_schedule='squaredcos_cap_v2'` with `use_karras_sigmas=True` (or `use_lu_lambdas=True`). ### Root cau\u2026",
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    "body_excerpt": "## Description In `_offload_to_memory()`, when using CUDA streams (`self.stream is not None`), module buffers from `self.modules` were not being restored to their CPU tensor copies during offload. This created an asymmetry with both `_buil\u2026",
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    "body_excerpt": "# What does this PR do? It enables detection of FLUX.2 Klein models when loading transformers from single file, like in the following example: ```python import torch from diffusers import Flux2KleinPipeline, Flux2Transformer2DModel, GGUFQu\u2026",
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    "body_excerpt": "# What does this PR do? I believe that the error message was wrong, since the shapes mentionned did not match the test trigering the error. I think that there is also an ambiguity on what is meant by \"quantized\" shape: the value returned b\u2026",
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    "body_excerpt": "# What does this PR do? - [x] Refactor MagCache tests. - [x] Include TaylorSeer in our model-level caching test mixin. - [ ] Consider removing caching-related mixins from `test_pipelines_common.py`.",
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    "body_excerpt": "This PR adds LTX-VAE support for SANA-Video. Cc: @dg845 @sayakpaul GPU memory needed: 47GB for LTX refiner ### SANA-Video with LTX2-Refiner: ```python \"\"\"Sana Video + LTX2 Refiner: Stage 1 generate latent \u2192 Stage 2 refine (3 steps).\"\"\" imp\u2026",
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    "body_excerpt": "cc @dg845 @sayakpaul @yiyixuxu ### Helios-Distilled ``` # CUDA_VISIBLE_DEVICES=0,1,2,3 torchrun --master_port 12311 --nproc_per_node 2 infer_distilled.py import os import argparse import torch import torch.distributed as dist from diffuser\u2026",
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    "body_excerpt": "# What does this PR do? This PR refactors `AttentionProcessorSkipHook` to support attention processors with a `_skip_attn_scores` flag, which is meant to allow attention processors to specify custom [spatio-temporal guidance (STG)](https:/\u2026",
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    "body_excerpt": "In helios pipeline, the latents are always in FP32 format: [L798](https://github.com/huggingface/diffusers/blob/main/src/diffusers/pipelines/helios/pipeline_helios.py#L798), hence we should skip the test_save_load_float16 test case, rather\u2026",
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    "body_excerpt": "# What does this PR do? This PR adds support for LTX-2.3 ([official code](https://github.com/Lightricks/LTX-2), [model weights](https://huggingface.co/Lightricks/LTX-2.3)), a new model in the LTX-2.X family of audio-video models. LTX-2.3 h\u2026",
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    "body_excerpt": "```py import torch from diffusers import ModularPipeline, ClassifierFreeGuidance, ClassifierFreeZeroStarGuidance from diffusers.utils import export_to_video, load_image, load_video import gc branch = \"\" ############################# # heli\u2026",
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    "body_excerpt": "Just an extension of #13183 to the other Z-Image pipleines @yiyixuxu @sayakpaul",
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    "body_excerpt": "Related to https://github.com/huggingface/diffusers/pull/13208 and https://github.com/huggingface/diffusers/pull/13210 cc @yiyixuxu cc @sayakpaul cc @dg845",
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    "title": "Fix Helios related (optimize docs & remove redudant)",
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    "body_excerpt": "# What does this PR do? This PR adds pipelines for the Helios-14B video generation model ([project page](https://pku-yuangroup.github.io/Helios-Page/), [official code](https://github.com/PKU-YuanGroup/Helios), [model weights](https://huggi\u2026",
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    "body_excerpt": "Currently, every process encodes the entire dataset through the VAE during preprocessing. This is redundant in multi-GPU training \u2014 each process does the same full encoding work independently. This PR shards the VAE encoding across process\u2026",
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    "body_excerpt": "## Summary - Add `scheduler.set_begin_index(0)` before the denoising loop in all flow-matching pipelines that were missing it - For img2img pipelines with strength-based schedule truncation (`wan_video2video`, `ltx_condition`), set the beg\u2026",
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    "body_excerpt": "# What does this PR do? Fixes invalid type annotation for the `image` parameter in `Flux2Pipeline.__call__`. `list[PIL.Image.Image, PIL.Image.Image]` passes two type arguments to `list`, which only accepts one. Fixed to `PIL.Image.Image |\u2026",
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    "body_excerpt": "based on this discussion https://github.com/huggingface/blog/pull/3278#discussion_r2873972272",
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    "body_excerpt": "# What does this PR do? Accidentally committed a bunch of extra Claude files. Removing them here. <!-- Congratulations! You've made it this far! You're not quite done yet though. Once merged, your PR is going to appear in the release notes\u2026",
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    "body_excerpt": "# What does this PR do? Remove DB utils from the benchmarking workflow. Internal thread: https://huggingface.slack.com/archives/CTKK32GE8/p1772345661280549 Cc: @McPatate",
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    "body_excerpt": "# What does this PR do? This PR improves the docstrings and type hints in `src/diffusers/schedulers/scheduling_ipndm.py` to follow the project conventions as described in #9567. ## Context This is part of a broader effort to improve docume\u2026",
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    "body_excerpt": "# What does this PR do? When loading custom code from a local path with AutoModel, the subfolder argument is not properly handled in `get_cached_module_file`. This results in this check for a valid file path failing and a local path being\u2026",
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    "body_excerpt": "# What does this PR do? Why not use `pytest` features haha.",
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    "body_excerpt": "so that we are able to correctly load repos like https://huggingface.co/diffusers/flux2-modular When creating a pipeline using `SequentialPipelineBlocks.from_blocks_dict()` and saving it, the `modular_model_index.json` stores `_blocks_clas\u2026",
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    "body_excerpt": "# What does this PR do? `modular_model_index.json` is a fundamental block for sharing and loading modular blocks and pipelines. This PR adds a test to ensure the integrity and consistency of a `modular_model_index.json`. I think this will\u2026",
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    "body_excerpt": "## What does this PR do? Fixes None dereference crashes and a mutable default argument bug: **1. `models/model_loading_utils.py`** - `_fetch_remapped_cls_from_config` used chained `.get().get()` without a fallback on the first call. If `pr\u2026",
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    "body_excerpt": "I added support for Kohya's Flux.2 loras to the PR as well. Reproducer code is: FLUX.2 Dev ```python import torch from diffusers import Flux2Pipeline pipe = Flux2Pipeline.from_pretrained(\"black-forest-labs/FLUX.2-dev\", torch_dtype=torch.bf\u2026",
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    "body_excerpt": "Text encoder lora layers are dropped for some loras such as [this one](https://huggingface.co/scenario-labs/big-head-kontext-lora/blob/main/flux_kontext_lora.safetensors) A log message confirms it: `No LoRA keys associated to CLIPTextModel\u2026",
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    "body_excerpt": "# What does this PR do? Add `regisiter_for_auto_class` method to `ConfigMixin` so that we don't have to manually edit the `config.json` file to add the `auto_map` field that we need to load custom code models. <!-- Congratulations! You've\u2026",
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